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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.20

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-02-26, 17:39 +03 based on data in: /data/coursework2024/week1/study_monocyte/results/summary_files


        General Statistics

        Showing 5/5 rows and 5/5 columns.
        Sample Name% Expression Efficiency# Genes% rRNA Alignment% AlignedM Aligned
        SRR26055764
        81.8%
        21579
        0.5%
        93.0%
        46.5 M
        SRR26055765
        83.4%
        18969
        1.4%
        94.0%
        23.0 M
        SRR26055766
        82.3%
        21014
        0.6%
        93.0%
        35.7 M
        SRR26055767
        81.6%
        19652
        0.8%
        92.9%
        22.7 M
        SRR26055768
        82.4%
        20654
        0.3%
        93.0%
        37.8 M

        RNA-SeQC

        RNA-SeQC Fast, efficient RNA-Seq metrics for quality control and process optimization.DOI: 10.1093/bioinformatics/btab135; 10.1093/bioinformatics/bts196.

        Transcript-associated reads

        All of the rates given are per mapped read.

        • Exonic Rate is the fraction mapping within exons.
        • Intronic Rate is the fraction mapping within introns.
        • Intergenic Rate is the fraction mapping in the genomic space between genes.
        Created with MultiQC

        Strand Specificity

        End 1/2 Sense are the number of End 1 or 2 reads that were sequenced in the sense direction.

        End 1/2 Antisense are the number of End 1 or 2 reads that were sequenced in the antisense direction

        Created with MultiQC

        Read Counts

        Number of reads (millions) falling into different categories.

        Note that many of these statistics are only available from RNA-SeQC v2.x

        Created with MultiQC

        STAR

        STAR is an ultrafast universal RNA-seq aligner.DOI: 10.1093/bioinformatics/bts635.

        Alignment Scores

        Created with MultiQC

        Gene Counts

        Statistics from results generated using --quantMode GeneCounts. The three tabs show counts for unstranded RNA-seq, counts for the 1st read strand aligned with RNA and counts for the 2nd read strand aligned with RNA.

        Created with MultiQC